May 20, 2020 · In this paper, we present a novel theoretical framework called QV4M (meaning “quantitative verification for monitoring”) for monitoring ESS ...
Quantitative Verification for Monitoring Event-Streaming Systems
www.computer.org › journal › 2022/02
In this paper, we present a novel theoretical framework called QV4M (meaning “quantitative verification for monitoring”) for monitoring ESS systems.
A novel theoretical framework called QV4M (meaning “quantitative verification for monitoring”) for monitoring ESS systems, which is based on two recent ...
Quantitative Verification for Monitoring Event-Streaming Systems
ro.uow.edu.au › journal_contribution
Nov 15, 2024 · By analysing the centralised data streams, one can evaluate the Quality-of-Service for other systems and components that produce or consume the ...
In this paper, we present a novel theoretical framework called QV4M (meaning “quantitative verification for monitoring”) for ESS system monitoring based on two ...
By analysing the centralised data streams, one can evaluate the Quality-of-Service for other systems and components that produce or consume those streams. We ...
Title: Quantitative Verification for Monitoring Event-Streaming Systems ; Authors: Su, Guoxin · Liu, Li · Zhang, Minjie · Rosenblum, David ; Issue Date: 2020.
Jul 3, 2020 · In this paper, the authors present a novel theoretical framework called QV4M (meaning “quantitative verification for monitoring”) for ESS system ...
Jun 16, 2021 · We provide a theoretical framework for the convergence of two recent trends in computer-aided verification. The first trend is runtime ...
Abstract. We present HLola, an extensible Stream Runtime Verification (SRV) tool, that borrows from the functional language Haskell (1) rich types for data.